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Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2021–2030 of 3687 papers

TitleStatusHype
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning—0
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation—0
Star+: A New Multi-Domain Model for CTR Prediction—0
Stem-driven Language Models for Morphologically Rich Languages—0
Stepback: Enhanced Disentanglement for Voice Conversion via Multi-Task Learning—0
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression—0
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels—0
Stochastic Variational Deep Kernel Learning—0
Stock Index Prediction with Multi-task Learning and Word Polarity Over Time—0
Structural Supervision for Word Alignment and Machine Translation—0
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified